About the course

Back to course listing

This course is aimed at all who have groups in their data that need to be compared and contrasted, whether the data comes from a survey, experiment or elsewhere.

The topics covered are one-sample hypothesis tests, two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses and chi-square test of independence. These topics will be demonstrated using Excel and SPSS.

It is assumed that delegates on this course will have knowledge of probability and the Normal distribution, perhaps through our “Getting Started with Stats” course. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

If you are interested in this course you may also be interested in the earlier “Getting Started with Stats” course and/or the follow-on “Relationships in Data” course. This course also forms part of our "Essential Data Analysis" course.

See our full range of courses (including our “Pick & Mix” selection) at http://go.herts.ac.uk/sscu or contact the course organiser, Dr Neil Spencer, on 01707 285529, statistics@herts.ac.uk.

Why choose this course?

This course is about classical hypothesis testing, including t-tests, one-way ANOVA and chi-square.

Entry requirements...

It is assumed that delegates on this course will have prior knowledge of probability and the Normal distribution, perhaps through our “Getting Started with Stats” course. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

Dates

2019

Start DateEnd DateDay and TimeCostLink
13/11/201913/11/2019Wednesday 13th November 2019, 10:00-17:00£199Apply online
12/03/202012/03/2020Thursday 12th March 2020, 10:00-17:00£199Apply online

Course fees

Dates: 13/11/2019, 12/03/2020 (both 10am-5pm)

£199